DocumentCode :
1600992
Title :
Spectrally correlated sound source localization in a noisy envirnoment based on a new mask for DUET
Author :
Pourmohammad, Ali ; Ahadi, Seyed Mohammad
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper investigates the use of a new mask for the degenerate unmixing estimation technique (DUET) based on autocorrelation function (ACF) for spectrally correlated sound source localization (SCSSL), such as a helicopter, in time-frequency domain (TFD). Helicopter is a good example of spectrally correlated sound sources since the main and tail rotors of a helicopter are simultaneously turning by a single engine. Rotating speed of both rotors (and therefore rotor noises) are correlated which leads to correlated frequency components in TFD. The ACF matrix of spectrally correlated sound sources in a noisy environment (underdetermined case which sensors count is less than sound sources count) is sparse and unique and can be used to classify and localize such sources using DUET with a new time-frequency domain autocorrelation function matrix mask (TFD-ACF mask). Simulation results for localization of a helicopter in different simulated maneuvers in presence of different environmental background noises confirm the efficiency of our proposed approach in comparison with previous localization methods in underdetermined case.
Keywords :
acoustic signal processing; correlation methods; helicopters; matrix algebra; spectral analysis; time-frequency analysis; ACF matrix; DUET; TFD-ACF mask; correlated frequency components; degenerate unmixing estimation technique; localization methods; single engine; spectrally correlated sound source localization; time-frequency domain autocorrelation function matrix mask; Correlation; Harmonic analysis; Helicopters; Noise; Noise measurement; Rotors; Sensors; Autocorrelation function; DUET; Spectrally correlated sound sources; TFD-ACF Mask; UBSS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0029-3
Type :
conf
DOI :
10.1109/ICICS.2011.6173514
Filename :
6173514
Link To Document :
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